[META] Climate Pattern Recognition Implementation Tracker

[Sakeeb91]

Summary

This meta-issue tracks the overall implementation progress of the Climate Pattern Recognition system. The project aims to identify atmospheric teleconnection patterns (NAO, AO, ONI, PDO) and correlate them with extreme weather events using ERA5 reanalysis data.

Implementation Phases

Phase 1: Data Infrastructure

• ERA5 download manager with checkpointing
• NOAA climate index loader
• Preprocessing pipeline (anomalies, regridding)
• Unit tests for data components

Phase 2: Feature Engineering

• EOF/PCA analysis implementation
• Region masking functionality
• Feature caching to Parquet

Phase 3: Pattern Classification

• K-Means clustering
• Self-Organizing Map
• Supervised teleconnection classifier
• Validation against NOAA indices

Phase 4: Extreme Event Analysis

• EM-DAT data integration
• Pattern-event correlation analysis
• Statistical significance testing

Phase 5: Visualization Dashboard

• Publication-quality maps with Cartopy
• Time series visualizations
• Interactive Streamlit dashboard

Resources

• Implementation Plan: docs/IMPLEMENTATION_PLAN.md
• Primary Data: ERA5 via Copernicus CDS, NCEP/NCAR via NOAA PSL
• Validation: NOAA Climate Indices (ONI, NAO, AO, PDO)

Technical Stack

Component	Technology
Data Format	NetCDF via xarray
Large Data	dask
ML	scikit-learn
Visualization	matplotlib, cartopy
Dashboard	Streamlit

Definition of Done

• All 5 phases completed with tests passing
• Classifier achieves >70% accuracy on teleconnection phases
• Correlation with official indices exceeds 0.7
• Interactive dashboard deployed locally